## Overview

This dataset presents an exhaustive collection of data points on Global Marketplace events spanning across the United States and Canada, incorporating detailed ticket listings and pricing information across all categories. The information has been meticulously extracted from the prominent event management and ticketing website, vividseats.com. This effort has been undertaken by Datamam, a leading provider of data management and cleaning services, to ensure accuracy, relevance, and consistency in the dataset.

The dataset offers an all-encompassing view of a multitude of event categories. This includes but is not limited to cultural festivals, musical concerts, sports tournaments, professional conferences, and many other public events of significance. Besides, it presents detailed information on ticket listings with corresponding prices for each event, providing a deeper understanding of the commercial aspects of these events. Each event data point is categorized by type, facilitating targeted data analysis based on specific event categories and their respective ticket pricing structures.

The sample dataset serves as a representative snapshot of the kind of comprehensive data that can be routinely harvested and curated.

---

## Use Cases

* Event Pricing Strategy: Event organizers, promoters, and venue managers can use this dataset to develop pricing strategies. By analyzing ticket prices across different types of events, locations, and categories, they can gain insights into pricing patterns and consumer willingness to pay. These insights can inform ticket pricing decisions, maximize revenue, and improve customer satisfaction.

* Competitive Analysis: Businesses in the event industry can leverage this dataset for competitive analysis. By comparing ticket prices and event offerings, they can identify their competitors, understand their pricing strategies, and differentiate their events. This information can guide strategic planning and competitive positioning.

* Sponsorship Valuation: Companies seeking to sponsor events can use this dataset to assess the value of sponsorship opportunities. By analyzing ticket prices, event types, and locations, they can estimate the potential reach and exposure of their brand. This data can support decision-making in sponsorship selection and negotiation.

* Market Research for Event Planning: Event planners, agencies, and investors can use this dataset for market research. By examining ticket prices, event types, locations, and categories, they can identify market trends, demand patterns, and growth opportunities. This data can inform business planning, investment decisions, and market entry strategies for new events.

* Pricing Optimization for Ticket Resellers: Ticket resellers can use this dataset to optimize their pricing. By analyzing prices for similar events and categories, they can set competitive prices and maximize their profits. This data can guide pricing decisions and sales forecasting.

---

## Metadata

Instructions: Provide metadata of your data using a table. Examples include but are not limited to:

Description | Value

----|-----

Update frequency | Hourly / Daily

Geographic coverage | US, CA, Worldwide

Data Format(s) | Versatile data formats available including CSV, JSON, XML, and others on request

Update time | August 2023

Update Type (Incremental updates vs. Full refresh) | Primarily Full refresh, with the possibility of incremental updates based on specific requirements

Data Source(s) | Primarily sourced from a leading Ticketing Website, supplemented with details from event organizer websites when available

Data Rows | Varying up to 20,000,000 rows

Data Structure | Flexible

Delivery Method | S3, API, FTP, Other

Data Validity and Accuracy | Data is cleaned, validated and normalized by expert data analysts to ensure high accuracy

Data Variables | Includes event types, locations, dates, categories, venues, performers or teams involved, ticket section, rows, prices and fees, etc.

Support | Ongoing technical and operational support for data handling and usage

Data Security | Adherence to strict data security protocols to ensure data privacy and integrity.

---

## Key Data Points

Key data points include: • event_url • event_id • event_category • event_subcategory • title • datetime_utc • datetime_local • name • address • city • state • country • postal_code • formatted_address • ticket_id • ticket_price • total_price • fee • service_fees • full_section • section • row • quantity • deal_score • in_hand_date • selection

---

## Need Help?

Our team is here to support you in accessing and analyzing data to optimize your business strategies. We'll guide you through the integration process, ensuring you make the most of the available data resources to uncover valuable insights and drive data-driven decision-making across your organization.

Email us at info@datamam.com.

---

## About Datamam

Datamam works with executives from companies all around the globe who need to extract, organize and analyze data more effectively and at scale. Our clients have many needs: sourcing competitive pricing, auditing merchants’ directories, and monitoring consumer sentiment.

They want this data to determine the weaknesses and strengths of products, brands, and services. These insights significantly impact business performance, as they’re used to adjust pricing, improve processes, and help with strategic decision-making.

Datamam provides web scraping services to research, extract, and analyze time-sensitive data. Unlike labor-intensive manual searches, Datamam’s custom software and applications save clients time and let them understand the competitive environment at scale.